ALD 0-1 NEO · 48% KON 1-2 GAL · 53% LEH 0-2 PAR · 63% NIC 1-2 REN · 48% BOD 1-2 VIK · 44% LYN 1-1 RAN · 40% ALS 1-2 AL- · 55% SVE 1-2 FSV · 45% ZUL 0-2 CLU · 61% VIL 2-1 ESP · 55% SHE 2-1 WRE · 47% LIL 2-1 LEN · 49% CAS 0-2 SPO · 66% EST 0-1 GIM · 59% ALD 0-1 NEO · 48% KON 1-2 GAL · 53% LEH 0-2 PAR · 63% NIC 1-2 REN · 48% BOD 1-2 VIK · 44% LYN 1-1 RAN · 40% ALS 1-2 AL- · 55% SVE 1-2 FSV · 45% ZUL 0-2 CLU · 61% VIL 2-1 ESP · 55% SHE 2-1 WRE · 47% LIL 2-1 LEN · 49% CAS 0-2 SPO · 66% EST 0-1 GIM · 59%
J1 League · Regular Season - 13 Oct 31, 2026 · 06:00 · UTC Mercari Stadium, Kashima Not Started

Kashima
vs
Cerezo Osaka.

Quick answer

Who will win Kashima vs Cerezo Osaka?

10 of 10 AI models pick Kashima to win (100%). The mean predicted score is 2–0 at 54% average confidence (medium).

Consensus of independent AI models on TuringStats, updated before kickoff. Not betting advice.

Head-to-head history → Kashima form Cerezo Osaka form

All 10 AIs agree. When the whole council agrees, it has been right 62% of the time (753 matches).

10 AI models read this match. The plurality on 1X2 leans toward Kashima (10 of 10 models). The mean predicted score (rounded from all models) is 2–0 at 54% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

J1 League table Where Kashima and Cerezo Osaka stand right now
— Consensus

Where the panel lands.

Vote share across models. Read this strip first, then the line-by-line table.

Kashima win 100%

10 / 10 models

Draw 0%

0 / 10 models

Cerezo Osaka win 0%

0 / 10 models

— Model breakdown

10 picks. Receipts attached.

Line-by-line comparison of each system’s call.

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-6 Luna
Kashima win
2–1
61%
Kashima’s 25 goals and strong home H2H record contrast with Cerezo’s 12 goals and DDLDD form. Cerezo’s defensive resilience may keep it close, but Kashima’s attacking leaders favor a narrow home win.
02
Claude Sonnet 5.5
Kashima win
2–1
56%
Kashima's stronger attack (Ceará, Čavrić) and better form at home outweighs Cerezo's defensive solidity but low scoring output on the road.
03
Gemini 3.8 Flash
Kashima win
2–0
58%
Kashima's strong attack, led by Léo Ceará, outmatches Cerezo Osaka's struggling offense, which has failed to score in four matches and is winless in five.
04
Grok 4.7
Kashima win
2–0
52%
Kashima’s stronger attack (Ceará) and home form beat Cerezo’s blunt, draw-heavy side that often fails to score.
05
DeepSeek V4 Pro
Kashima win
2–1
41%
Kashima's stronger attack (25 goals) and home edge outweigh Cerezo's draws-heavy form; Cerezo's 4 clean sheets suggest a narrow home win.
06
Qwen 3.8 Max
Kashima win
1–0
58%
Kashima's strong home attack (Léo Ceará 12 goals) meets Cerezo's blunt away offense (failed to score 4 times). Low-scoring home edge fits H2H pattern.
07
Meta Muse Spark 1.3
Kashima win
2–0
58%
Kashima's attack with Léo Ceará (12 in 10) faces low-scoring Cerezo (12 goals, 4 blanks). Home form and venue edge support clean-sheet win.
08
Kimi K3
Kashima win
1–0
48%
Kashima's home edge and Léo Ceará's scoring form outweigh Cerezo's recent draw-heavy resilience; expect tight, low-scoring affair with hosts nicking it.
09
GLM 5.3
Kashima win
2–0
55%
Kashima's superior form and Léo Ceará's 12 goals meet a blunt Cerezo attack (4 blanks, 12 goals); H2H home wins support this, though Kashima's leaky defense keeps confidence modest.
10
MiMo V2.6 Pro
Kashima win
2–1
52%
Kashima's stronger scoring form (25 goals, Léo Ceará 12) and home record against Cerezo outweigh Cerezo's draw-heavy run; late goals and H2H edge support a narrow home win.
— Scoreline frequency

How often each scoreline showed up.

4 of 10 models settled on 2–0. The rest of the list shows where dissent still lives before kickoff.

  • 2–0
    4 models
  • 2–1
    4 models
  • 1–0
    2 models

Bookmakers vs the AI panel

Bet365 · 1.70 / 4.00 / 4.33
Kashima Market 55% · AI 100%
Draw Market 23% · AI 0%
Cerezo Osaka Market 22% · AI 0%

Grey: bookmaker prices as probabilities, margin removed. Lime: share of the 11 AI models picking each result.

Season data

J1 League numbers for both sides, when they score and the players who carry them.

Kashima

4-4-2
W-D-L
6-2-4
Goals
25-21
Clean sheets
3
Failed to score
1
Best win run
4
Penalties
2/2
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Cerezo Osaka

3-4-2-1
W-D-L
3-5-4
Goals
12-19
Clean sheets
4
Failed to score
4
Best win run
1
Penalties
3/3
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Key players · Kashima

  • Léo Ceará 12 G · 0 A · 10 apps
  • A. Čavrić 6 G · 1 A · 12 apps
  • Y. Suzuki 1 G · 3 A · 12 apps

Key players · Cerezo Osaka

  • No player in the competition's top scorers or assisters.

Top scorers · J1 League

  1. 1 Léo Ceará Kashima 12
  2. 2 Marcinho Kawasaki Frontale 8
  3. 3 A. Suzuki Sanfrecce Hiroshima 8
  4. 4 M. Nagakura FC Tokyo 7
  5. 5 Y. Segawa Kashiwa Reysol 7
Venue Mercari Stadium, Kashima
New at Kashima Rui Onuki (Kashima), R. Hirose (Vissel Kobe), Yan Matheus (Qatar SC)
New at Cerezo Osaka Javi Hernández (Leganes), P. Sabbag (Al Ahli Tripoli), J. Irvine (FC St. Pauli)
— Aggregated insights

What’s moving the panel.

01
Consensus favors Kashima

100% of models lean home — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 54% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.80 vs 0.40

Derived from predicted scorelines (model means), not live match data — useful for pace vs vote-share sanity checks.

04
Match context

Expected-goals tilt and home-field rhythm (see xG on this page) usually explain whether the game stays open or compresses late.

Ask the Council about this match

Pro

10 AI models vote yes or no with this match's last-5 form, head-to-head, live status and the model picks above attached — not from memory. Then keep asking the same council follow-ups.

— Match context

Form, history, team news.

Kashima
#8 · 20 PTS · GD +4
Last 5
W L D W W
10 GF · 5 GA
Recent fixtures
  • Pohang Steelers 3-0 W
  • Kashiwa Reysol 2-3 L
  • Kyoto Sanga 2-2 D
  • V-varen Nagasaki 2-0 W
  • Công An Nhân Dân 0-1 W
Team news

No major injury updates in the current API snapshot.

Cerezo Osaka
#12 · 14 PTS · GD -7
Last 5
W D D L W
11 GF · 10 GA
Recent fixtures
  • Mito Hollyhock 1-3 W
  • JEF United Chiba 2-2 D
  • Nagoya Grampus 1-1 D
  • Kawasaki Frontale 2-4 L
  • Gainare Tottori 2-3 W
Team news

No major injury updates in the current API snapshot.

— Head to head

Last five meetings.

KAS 3 · D 1 · CER 1

KAS VS CER
3-1
HOME WIN
Sep 23, 2025
CER VS KAS
1-0
HOME WIN
Apr 12, 2025
CER VS KAS
0-2
AWAY WIN
Nov 30, 2024
KAS VS CER
1-1
DRAW
Mar 2, 2024
KAS VS CER
1-0
HOME WIN
Sep 16, 2023

Confidence trend

Cumulative average confidence in table order.

First model Last model

Betting tips (AI-signal view)

Educational only — not financial advice. We summarize how the AI picks cluster so you can cross-check with your own staking plan.

  • Lean with the plurality: when 100% of models side with Kashima, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 0% — tight J1 League games often compress toward stalemates when both midfields win the second-ball.
  • If you chase “best bets today” narratives, require alignment between the headline pick and the score-frequency table; conflicting signals usually mean thinner edge.

Odds & analysis (implied probabilities)

Implied fair percentages from the model vote share (normalized to 100%) approximate how a balanced market might price the 1X2 if it mirrored this panel — useful for odds analysis homework even though we do not quote sportsbook ticks here.

Kashima
~100%
implied lean
Draw
~0%
implied lean
Cerezo Osaka
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.20 goals in expectation. A notional totals line near 2.5 is consistent with that pace (rounded for readability). If your sportsbook posts a similar number, compare juice and live team news before deciding either side of the total.

Handicap prediction (spread-style read)

When Kashima is priced as the stronger side in the model vote, a −1 handicap narrative only clears if the most common scorelines include multi-goal wins. Cross-check the score-frequency list: if tight one-goal wins dominate, Asian handicaps near pick’em or −0.5 / −0.75 splits often fit the story better than a full −1.5 sell.

BTTS prediction (both teams to score)

With combined offensive weight near 2.20 xG, a heuristic “both teams score” prior lands around 55% yes before defensive adjustments. If several top models forecast clean-sheet pathways, downgrade BTTS enthusiasm even when the raw xG sum looks juicy.

Best bet framing (consensus-led)

Our headline best bet label follows the consensus recommendation: Kashima win. Pair that with the confidence band (Medium) — high dispersion across models usually argues for smaller stake or pass, even when the headline pick looks tempting for a today prediction card on social.

Match overview

Looking for a today prediction on Kashima vs Cerezo Osaka in J1 League? TuringStats aggregates multiple AI scorelines into one readable page so you can see who the models favor, the mean predicted score shown in the hero (2 - 0; the frequency chart below lists the most common exact scorelines), and implied splits before kickoff.

This prediction hub is written for readers comparing betting tips-style language with transparent model votes — not a single black-box call. The headline read is Kashima win, with vote shares roughly 100% / 0% / 0% home, draw, and away (rounded).

If you are asking who will win Kashima vs Cerezo Osaka, start with the consensus strip and model table, then cross-check form and injuries in Match context further down — that order keeps the strongest signals first.

Explore more

Keep browsing today prediction coverage and league hubs.

Related matches

— Journal

Articles linked to these clubs or AI forecasting.

Ask multiple AIs about this match.

10 models vote yes or no with this match's last-5 form, head-to-head, live status and our model picks attached — not from memory. Then ask follow-ups to the same council.